Skip to main content

A quick to use library to process images for MRI Arterial Spin Labeling imaging protocols.

Project description

Documentation Stable codecov CI_main CI_develop PyPI version

Arterial Spin Labeling Toolkit (asltk)

Welcome to the ASL toolkit!

This library was designed to assist users in processing Arterial Spin Labeling (ASL) MRI images, from basic imaging protocols to the state-of-the-art models provided in the scientific literature.

The major objective of this project is to give an open-source alternative to researchers in the MRI field. A profound knowledge of computing and data modelling is not a prior demand. It is expected that a simple set of Python commands can be helpful in fast prototyping an ASL experiment or even collecting simple quantitative ASL-based information.

Please read the full documentation to get more details about the usage, implementation and updates in the asltk library.

Also, feel free to contribute directly to the project! Check it out the issues at the repository and get in touch to the developers of the project.

How to install

A quick to use install is via pip, as follows:

[!NOTE] The installation requires Python 3.10 or higher

pip install asltk

Citation

We appreciate if one or more of the following references can be added in your projects due to the usage of asltk outcomes.

  • Paper 1

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

asltk-0.1.4.tar.gz (15.9 kB view details)

Uploaded Source

Built Distribution

asltk-0.1.4-py3-none-any.whl (20.5 kB view details)

Uploaded Python 3

File details

Details for the file asltk-0.1.4.tar.gz.

File metadata

  • Download URL: asltk-0.1.4.tar.gz
  • Upload date:
  • Size: 15.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/5.15.0-124-generic

File hashes

Hashes for asltk-0.1.4.tar.gz
Algorithm Hash digest
SHA256 59a84b2766f42babc30d34e187609a251abe7815e040d181d21db41094f323ea
MD5 09ec095556af182fd4b8304c12b950fb
BLAKE2b-256 e61c2ea725578d0081fb2b2c2d6c886f5039e4c777fefa8be48ee10215cdcb9e

See more details on using hashes here.

File details

Details for the file asltk-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: asltk-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 20.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/5.15.0-124-generic

File hashes

Hashes for asltk-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 5eecc252bdf8425766bd7765fbe1c1236a3aaa59b5a4f43d26dbc66efafb3475
MD5 7db0c52f3de5dcfbe3fd780fcd7cb899
BLAKE2b-256 d16e0ba7bb900b98d3c1751ded1beac34f8049aeb45e63849fbc5b8be6606a33

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page